Showing 1-19 of 19 projects
vn.py is an open-source quantitative trading platform development framework based on Python.
Curated list of quantitative finance libraries and resources for developers.
Open-source crypto trading bot framework that helps developers build high-frequency trading algorithms.
A curated list of awesome libraries, packages, strategies, books, blogs, and tutorials for systematic trading.
Portfolio analytics library for quantitative finance, built with Python
A comprehensive quantitative trading framework for algorithm trading, HFT, and fintech development.
Open-source crypto trading bot with integrated charting, data-mining, backtesting, and multi-server deployment
A high-frequency trading and market making backtesting and trading bot built with Rust for crypto trading on Binance and Bybit.
A repository for quantitative analysis, strategies, and backtests for algorithmic trading and finance research.
Easily build, backtest, and deploy algorithmic trading strategies across stocks, crypto, and forex with a powerful Python framework.
Open-source crypto trading bot with DCA and GRID strategies, technical indicators, and a customizable UI
Open-source Rust framework for building event-driven live-trading & backtesting systems
A Python library for finding big moving stocks using machine learning and anomaly detection.
fastquant is a Python library for backtesting and optimizing ML trading strategies with just a few lines of code.
An algorithmic trading framework for cryptocurrencies, designed for developers interested in high-frequency trading strategies.
Open-source algorithmic trading platform for building and deploying automated trading strategies.
Educational notebooks on quantitative finance, algorithmic trading, financial modeling, and investment strategy.
Detects arbitrage opportunities across 131 cryptocurrency exchanges in 50 countries using Python.
The official Python SDK for the Alpaca API, providing algorithmic trading and quantitative finance tools.
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